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With the pervasiveness of high-speed computers and processors, computer companies are looking for new technologies to incorporate into their products and use as a competitive advantage in the market. Two modern and rapidly growing techniques are quantum computing and the use of artificial neural networks (ANN) in computations. In this article, the possibility of integration of these two technologies is investigated and based on recently published research outcomes, an approach for the implementation of a recent model of a quantum perceptron is proposed. The implementation is conducted in the Intel quantum simulator (Intel-QS), which is a simulator written in C++ format using MPI to take advantage of multi-core and multi-node architectures for speed- up [1]. |
